Self - Organizing Migrating Algorithm used to control a semi-batch chemical reactor

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F13%3A43870929" target="_blank" >RIV/70883521:28140/13:43870929 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.4028/www.scientific.net/AMR.791-793.1333" target="_blank" >http://dx.doi.org/10.4028/www.scientific.net/AMR.791-793.1333</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4028/www.scientific.net/AMR.791-793.1333" target="_blank" >10.4028/www.scientific.net/AMR.791-793.1333</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Self - Organizing Migrating Algorithm used to control a semi-batch chemical reactor

Popis výsledku v původním jazyce

Two different approaches are used to control a semi-batch nonlinear reactor dealing with the significant exothermic reaction. This paper compares evolutionary approach represented by the Self - Organizing Migrating Algorithm (SOMA) with PID pole placement controller (PIDPP). The aim of controlled process is to regenerate the largest amount of chromium filter cake (chromium sludge) in the shortest possible time. For safety reasons the temperature inside the reactor should not exceed 100 °C. In this studythe reactor is controlled by two manipulating inputs: filter cake feeding flow rate and cooling water temperature. The speed of the whole process depends on the filter cake feeding flow rate - in case of a large amount filter cake addition a sharp temperature rise follows. The controller must be able to find optimal strategy between the filter cake dosing and the cooling temperature to reach the shortest possible process time. The SOMA optimization algorithm was created in Mathematica,

Název v anglickém jazyce

Self - Organizing Migrating Algorithm used to control a semi-batch chemical reactor

Popis výsledku anglicky

Two different approaches are used to control a semi-batch nonlinear reactor dealing with the significant exothermic reaction. This paper compares evolutionary approach represented by the Self - Organizing Migrating Algorithm (SOMA) with PID pole placement controller (PIDPP). The aim of controlled process is to regenerate the largest amount of chromium filter cake (chromium sludge) in the shortest possible time. For safety reasons the temperature inside the reactor should not exceed 100 °C. In this studythe reactor is controlled by two manipulating inputs: filter cake feeding flow rate and cooling water temperature. The speed of the whole process depends on the filter cake feeding flow rate - in case of a large amount filter cake addition a sharp temperature rise follows. The controller must be able to find optimal strategy between the filter cake dosing and the cooling temperature to reach the shortest possible process time. The SOMA optimization algorithm was created in Mathematica,

Druh

D - Stať ve sborníku

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

13th International Conference on Control, Automation and Systems

ISBN

978-89-93215-05-2

ISSN

2093-7121

e-ISSN

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Počet stran výsledku

4

Strana od-do

1266-1269

Název nakladatele

ICROS

Místo vydání

Bucheon

Místo konání akce

Gwangju

Datum konání akce

20. 10. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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